{"id":"W2621249153","doi":"","title":"Numerical modelling and rescaled range analysis on spontaneous combustion under surface methane drainage in a Chinese coal mine","year":2016,"lang":"en","type":"article","venue":"3rd International Symposium on Mine Safety Science and Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Borehole; Spontaneous combustion; Drainage; Coal mining; Coal; Methane; Geology; Combustion; Petroleum engineering; Geotechnical engineering; Mining engineering; Engineering; Waste management; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821116,0.0001772948,0.0002010821,0.0002999149,0.00005205961,0.00004841442,0.0001460365,0.0000492571,0.00001973606],"category_scores_gemma":[0.00007537083,0.0001303923,0.00003768901,0.0006043066,0.00005794599,0.0002719446,0.00004029787,0.0001020018,0.00000371473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220369,"about_ca_system_score_gemma":0.000009251775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089202,"about_ca_topic_score_gemma":0.00004467628,"domain_scores_codex":[0.9988157,0.0000118126,0.0002430782,0.000306124,0.0003856989,0.0002376074],"domain_scores_gemma":[0.9995525,0.0001282497,0.00002401594,0.0001230974,0.00007269982,0.00009944897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001099994,0.00001886141,0.001145274,0.0000123997,0.00003220176,0.00001401569,0.000106249,0.9792096,0.01830129,0.00051211,0.000002430227,0.0005355836],"study_design_scores_gemma":[0.0005106259,0.00006783205,0.01292618,0.0000796238,0.00001750674,0.00001950903,0.00001744078,0.9853597,0.0006560367,0.00003353903,0.0001284552,0.0001835658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237695,0.0000750222,0.07414372,0.0009861751,0.0002603071,0.0001051529,0.00001066619,0.00007146733,0.0005779549],"genre_scores_gemma":[0.9991676,0.0002295669,0.0003763385,0.00004070986,0.00006362409,0.000004574946,0.000007719649,0.00001580881,0.0000940609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07539807,"threshold_uncertainty_score":0.5317245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00874422170521684,"score_gpt":0.2165195386712545,"score_spread":0.2077753169660376,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}